Sustainable Production Planning Supporting Entrepreneurial Success and Environmental Friendliness

2014 ◽  
pp. 249-264 ◽  
Author(s):  
Markus Heck
Keyword(s):  
Environmental Impact ◽  
Production Planning ◽  
Cost Optimization ◽  
Ecological Factors ◽  
Production Costs ◽  
Size Optimization ◽  
Entrepreneurial Success ◽  
Lot Size ◽  
Environmental Friendliness ◽  
Linear Cost

This chapter proposes the use of modified algorithms for production planning that support both cost optimization as well as environmental friendliness. The key element is the implementation of non-linear cost functions based on ecological considerations for lot-size planning. Lot-size planning is an essential part of industrial production and integral part of ERP-systems. The classical approaches of lot-size optimization, which are widespread in industries, the Wagner-Whitin algorithm and the Part-Period Balancing heuristic, are enhanced with so-called eco-factors. These eco-factors allow an optimization based on cost as well as ecological factors. This eco-enhanced approach combined with the introduced concept of eco-balancing helps to reduce overall production costs. Simultaneously, the environmental impact is significantly reduced, resulting in a better carbon footprint.

Lot-Size Planning with Non-Linear Cost Functions Supporting Environmental Sustainability

2010 ◽  
Vol 1 (1) ◽  
pp. 34-39 ◽  
Author(s):  
Markus Heck ◽  
Guenter Schmidt
Keyword(s):  
Environmental Impact ◽  
Cost Function ◽  
Environmental Sustainability ◽  
Production Costs ◽  
Cost Functions ◽  
Size Optimization ◽  
Lot Size ◽  
Non Linear ◽  
Linear Cost

In this paper, the authors propose a non-linear cost function based on ecological considerations for lot-size planning. The classical approaches of lot-size optimization, the Wagner-Whitin algorithm and the Part-Period Balancing heuristic, are enhanced with so-called eco-factors. These eco-enhanced approaches combined with eco-balancing help to reduce overall production costs. Simultaneously, the environmental impact is also reduced.

Lot-Size Planning with Non-Linear Cost Functions Supporting Environmental Sustainability

2013 ◽  
pp. 226-231
Author(s):  
Markus Heck ◽  
Guenter Schmidt
Keyword(s):  
Environmental Impact ◽  
Cost Function ◽  
Environmental Sustainability ◽  
Production Costs ◽  
Cost Functions ◽  
Size Optimization ◽  
Lot Size ◽  
Non Linear ◽  
Linear Cost

In this paper, the authors propose a non-linear cost function based on ecological considerations for lot-size planning. The classical approaches of lot-size optimization, the Wagner-Whitin algorithm and the Part-Period Balancing heuristic, are enhanced with so-called eco-factors. These eco-enhanced approaches combined with eco-balancing help to reduce overall production costs. Simultaneously, the environmental impact is also reduced.

MINIMALISASI BIAYA SIMPAN DAN BIAYA SETUP PADA MULTIPLE PRODUK: SIMULASI DENGAN CAPACITATED LOT SIZING PROBLEM

2019 ◽  
Vol 4 (2) ◽  
pp. 205-214
Author(s):  
Erika Fatma
Keyword(s):  
Production Cost ◽  
Lot Sizing ◽  
Setup Time ◽  
Production Costs ◽  
Total Production ◽  
Product Cycle ◽  
Lot Size ◽  
Setup Costs ◽  
Lot Sizing Problem ◽  
Capacitated Lot Sizing

Lot sizing problem in production planning aims to optimize production costs (processing, setup and holding cost) by fulfilling demand and resources capacity costraint. The Capacitated Lot sizing Problem (CLSP) model aims to balance the setup costs and inventory costs to obtain optimal total costs. The object of this study was a plastic component manufacturing company. This study use CLSP model, considering process costs, holding costs and setup costs, by calculating product cycle and setup time. The constraint of this model is the production time capacity and the storage capacity of the finished product. CLSP can reduce the total production cost by 4.05% and can reduce setup time by 46.75%.  Keyword: Lot size, CLSP, Total production cost.

scholarly journals Binary Linear Programming as a Tool of Cost Optimization for a Water Supply Operator

2021 ◽  
Vol 13 (6) ◽  
pp. 3470
Author(s):  
Przemysław Kowalik ◽  
Magdalena Rzemieniak
Keyword(s):  
Linear Programming ◽  
Water Supply ◽  
Electric Power ◽  
Energy Savings ◽  
Cost Optimization ◽  
Production Optimization ◽  
Production Costs ◽  
Pump System ◽  
Power Cost ◽  
Binary Linear Programming

The problem of scheduling pumps is widely discussed in the literature in the context of improving energy efficiency, production costs, emissions, and reliability. In some studies, the authors analyze the available case studies and compare the results; others present their own computational methods. In the paper, a problem of pump scheduling in regular everyday operations of a water supply operator is considered. The issues of water production optimization and energy savings are part of the topic of sustainable development. The objective of the article is the minimization of the cost of electric power used by the pumps supplying water. It is achieved thanks to the variability of both the demand for water and the price of electric power during the day combined with the possibility of storing water. The formulation of an existing electric power cost optimization problem as a binary linear programming problem was improved. An essential extension of the above mathematical model, which enables more flexible management of the pump system, was also proposed. An example containing real-world input data was successfully solved using Microsoft Excel with a free OpenSolver add-in.

scholarly journals The Environmental Impact of Transport Activities for Online and In-Store Shopping: A Systematic Literature Review to Identify Relevant Factors for Quantitative Assessments

2021 ◽  
Vol 13 (5) ◽  
pp. 2981
Author(s):  
Susanne Feichtinger ◽  
Manfred Gronalt
Keyword(s):  
Environmental Impact ◽  
Distribution Channel ◽  
Order Effects ◽  
Third Order ◽  
Screening Process ◽  
Environmental Friendliness ◽  
Number Of Factors ◽  
Recommendations For Action ◽  
Behavioural Factors ◽  
Relevant Factors

In the scientific literature, there are numerous studies with different approaches and focuses on assessing the environmental impact of online shopping and shopping in the traditional retail channel. The aim of this work is to analyse scientific studies that quantitatively assess the environmental impact of transport activities in both channels and to extract the factors used for this assessment. A literature search was conducted for the period 2006 to October 2020, with 90 studies shortlisted, of which 15 studies were identified as relevant in a screening process. The analysis showed that a different number of factors is included in the selected studies. Logistics-related and behavioural factors are mostly of similar importance. Third-order effects, such as rebound or complementary effects, are rarely considered. Furthermore, it becomes clear that the results also depend on differences in study design and external factors. This work illustrates the complexity of quantitatively assessing the environmental impact of online and in-store shopping. Caution is advised when deriving recommendations for action from general statements about the environmental friendliness of a distribution channel. The 15 factors found, together with the classification method used, form a solid basis for building new models.

scholarly journals Otomasi Perencanaan Produksi pada Pondok Pesantren

2020 ◽  
Vol 5 (2) ◽  
pp. 187
Author(s):  
S A Rahmasari ◽  
A Juliasari ◽  
W K Febryanto
Keyword(s):  
Production Planning ◽  
Business Process ◽  
Business Processes ◽  
Raw Materials ◽  
Boarding School ◽  
Production Costs ◽  
Microsoft Excel ◽  
Descriptive Research ◽  
School Business ◽  
Using Data

Production planning is very necessary in a business process that aims to minimize the total cost of production. In this research, automation of production planning using data based on the Islamic boarding school business processes. This research uses descriptive research which aims to obtain information in the implementation of the business process planning of Islamic boarding school. The calculation of production costs in this study was carried out in Microsoft Excel by determining the total targets and raw materials of the Islamic boarding school business process, then calculating the production costs of the Islamic boarding school process until finding the optimal production costs for each student for 3 years. - The year of study is Rp. 1,242,542 rupiah / Islamic student for a total of 300 Islamic students.

The challenges facing the feed industry.

2021 ◽  
pp. 1-7
Author(s):  
Angela Booth ◽  
Helen Masey O'Neill ◽  
Liz Quigley
Keyword(s):  
Environmental Impact ◽  
Product Safety ◽  
Production Costs ◽  
Feed Formulation ◽  
Feed Industry ◽  
Different Types ◽  
The Uk

Abstract This chapter describes the characteristics of the UK feed industry, including performance and efficiency, environmental impact of different types and quantities of nutrients, health and welfare, feed formulation, product safety, legislation, production costs, marketing and continuous improvements.

Production cost optimization of enzyme washing for indigo dyed cotton denim by combining Kriging surrogate with differential evolution algorithm

2020 ◽  
Vol 90 (15-16) ◽  
pp. 1860-1871
Author(s):  
Jie Xu ◽  
Zhenglei He ◽  
Sheng Li ◽  
Wenbo Ke
Keyword(s):  
Differential Evolution ◽  
Process Parameters ◽  
Production Cost ◽  
Cost Optimization ◽  
Differential Evolution Algorithm ◽  
Kriging Model ◽  
Production Costs ◽  
Color Strength ◽  
Washing Process ◽  
Input Parameters

The enzyme washing process is extensively applied in the industrial production of denim garments. The process parameters of enzyme washing have significant effects on washing performances and costs. Since the relationships between the process parameters and washing performances cannot be expressed explicitly, it is impractical to determine the process parameters to obtain the optimal production cost while satisfying requirements of customers intuitively. This paper proposes an optimization methodology by combining Kriging surrogate and differential evolution (DE) algorithm to address the production cost optimization of enzyme washing for indigo dyed cotton denim. First, an experiment using Taguchi L16 orthogonal array is conducted where temperature and concentration of cellulase enzyme are taken into consideration with processing time as the input parameters, while the washing performances (including color strength value, stiffness, and tensile strength in warp and weft directions of the washed denim fabrics) are the output responses. Second, the relationships between the inputs and outputs are established using the Kriging model. Third, the effects of the input parameters on the washing performances are analyzed, and the production cost optimization model is illustrated. Finally, a case study is given to depict the optimization process and a verification experiment is conducted to verify the effectiveness of the optimal values. On the whole, the proposed hybrid method, Kriging-DE, shows great capability of optimizing the production costs of the enzyme washing process for indigo dyed cotton denim.

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